Leo Klarner
Oxford PhD student in Machine Learning for Drug Discovery
Bio
PhD student, Clarendon Scholar in the Oxford Protein Informatics (OPIG) and Computational Statistics & Machine Learning (OxCSML) groups. Improving the robustness of deep learning algorithms in early-stage drug discovery.Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Bias in the Benchmark: Systematic experimental errors in bioactivity databases confound multi-task and meta-learning algorithms
Leo Klarner, Michael Reutlinger, Torsten Schindler, Charlotte Deane, Garrett Morris
ICML '22 Workshop on AI4Science
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths‡, Leo Klarner‡, Henry B. Moss‡, Aditya Ravuri‡, Sang Truong‡, Bojana Rankovic‡, Yuanqi Du,‡, ..., Alpha A. Lee, Philippe Schwaller, Jian Tang
ICML '22 Workshop on AI4Science
Bias in the Benchmark: Systematic experimental errors in bioactivity databases confound multi-task and meta-learning algorithms
Leo Klarner, Michael Reutlinger, Torsten Schindler, Charlotte Deane, Garrett Morris
ICML '22 Workshop on AI4Science
GAUCHE: A Library for Gaussian Processes in Chemistry
Ryan-Rhys Griffiths‡, Leo Klarner‡, Henry B. Moss‡, Aditya Ravuri‡, Sang Truong‡, Bojana Rankovic‡, Yuanqi Du,‡, ..., Alpha A. Lee, Philippe Schwaller, Jian Tang
ICML '22 Workshop on AI4Science